1	Course Title:	STATISTICS FOR FINANCE
2	Course Code:	EKO5123
3	Type of Course:	Optional
4	Level of Course:	Second Cycle
5	Year of Study:	1
6	Semester:	1
7	ECTS Credits Allocated:	4
8	Theoretical (hour/week):	2
9	Practice (hour/week) :	0
10	Laboratory (hour/week) :	0
11	Prerequisites:	None
12	Recommended optional programme components:	None
13	Language:	Turkish
14	Mode of Delivery:	Face to face
15	Course Coordinator:	Prof. Dr. SEVDA GÜRSAKAL
16	Course Lecturers:
17	Contactinformation of the Course Coordinator:	Prof. Dr. Sevda GÜRSAKAL Uludağ Üniv. İİBF Ekonometri Bölümü Görükle Kampüsü Bursa Tel: 0.224.2941112 sdalgic@uludag.edu.tr
18	Website:
19	Objective of the Course:	Aim of the course is defining risk and risk analysis, teaching statistical risk analysis methods.
20	Contribution of the Course to Professional Development	It has a contribution towards forming a basis for the development of students' professional skills related to statistical risk analysis.

21

Learning Outcomes:

1 To be able to learn basic information about risk and risk analysis concepts, relationship between risk and uncertanity. ; 2 To be able to learn and apply basic statistical methods for risk analysis. ; 3 To be able to learn theory of Probability, importance of probability for risk analysis, discrete and continuous probability distributions. ; 4 To be able to learn types of risks faced in the financial sector.; 5 To be able to learn concept of risk management and traditional risk management methods.; 6 To be able to learn an important risk management method called Value at Risk and it’s parameters. ; 7 To be able to learn and apply Variance-Covariance (Var-Cov), Delta Normal and Delta Gamma methods.; 8 To be able learn and calculate nonparametric methods used for calculating Value at Risk.;

22	Course Content:

Week	Theoretical	Practical
1	Basic Concepts of Risk Analysis
2	Theory of Probability
3	Monte Carlo Simulation
4	Random Processes
5	Probability Distrubutions
6	Quantifying Uncertainty About Model Parameters
7	Building Risk Analysis Model
8	Fitting Distrubutions to Data
9	Defining Distrubutions from Expert Opinion
10	Monte Carlo Simulation Applications
11	Assesment of Model
12	Risk Assesment
13	İnsurance Risk modeling
14	Finance Risk Modeling

23	Textbooks, References and/or Other Materials:	1- Risk Analysis: A Quantitative Guide , David Vose WİLEY; 3 EDİTİON (MAY 19, 2008) 2- Probabilistic Risk Analysis: Foundations And Methods Tim Bedford And Roger Cooke ;Cambridge University Press; 1 Edition 2001) 3- Risk Analysis: Assessing Uncertainties Beyond Expected Values And Probabilities Terje Aven Wileyblackwell; 2008
24	Assesment

TERM LEARNING ACTIVITIES	NUMBER	PERCENT
Midterm Exam	0	0
Quiz	0	0
Homeworks, Performances	0	0
Final Exam	1	100
Total	1	100
Contribution of Term (Year) Learning Activities to Success Grade		0
Contribution of Final Exam to Success Grade		100
Total		100
Measurement and Evaluation Techniques Used in the Course	Measurement and evaluation are made with multiple choice test questions and written questions.
Information	This course is evaluated with a absolute evaluation system.

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ECTS / WORK LOAD TABLE

Activites	NUMBER	TIME [Hour]	Total WorkLoad [Hour]
Theoretical	14	2	28
Practicals/Labs	0	0	0
Self Study and Preparation	14	3	42
Homeworks, Performances	0	15	30
Projects	0	0	0
Field Studies	0	0	0
Midtermexams	0	0	0
Others	0	0	0
Final Exams	1	25	25
Total WorkLoad			125
Total workload/ 30 hr			4,17
ECTS Credit of the Course			4

26	CONTRIBUTION OF LEARNING OUTCOMES TO PROGRAMME QUALIFICATIONS
PQ1 PQ2 PQ3 PQ4 PQ5 PQ6 PQ7 PQ8 PQ9 PQ10 PQ11 PQ12 LO1 1 4 2 1 1 3 1 1 1 1 1 1 LO2 4 4 4 2 3 3 3 3 4 4 4 4 LO3 4 4 4 2 3 3 3 3 4 4 4 4 LO4 1 4 2 1 1 3 1 1 1 1 1 1 LO5 1 4 2 1 1 3 1 1 1 1 1 1 LO6 4 4 4 4 3 3 3 3 4 4 4 4 LO7 4 4 4 3 4 4 3 3 4 4 4 4 LO8 4 4 4 2 3 4 3 3 4 4 4 4

LO: Learning Objectives

PQ: Program Qualifications

Contribution Level:

1 Very Low

2 Low

3 Medium

4 High

5 Very High